Your role on our teamAs a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to make power tool solutions that change the lives of our users. You will act as a technical expert in the creation and execution of these concepts into products, supporting the team through implementation, validation, and transfer to production.
This role requires excellent problem-solving skills, critical thinking, and the ability to work well under pressure in a dynamic environment. You will leverage strong technical communication skills and fundamental project management abilities to ensure clarity and alignment across teams. Additionally, you will demonstrate a strong sense of ownership for projects and tasks, with a clear understanding of how they connect to broader initiatives.
What TOOLS you'll bring with you (Required):- Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
- Completed course work or specialization in Machine Learning and/or Data Science
- Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
- Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
- Proficient developing and debugging code in Python
- Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
- Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
- Sold mathematical foundation in statistics, linear algebra, calculus and optimization
- Ability to travel up to 10% of the time (domestic and international).
Other TOOLS you may have (Preferred):- Master's degree or PhD in Machine Learning or related field
- At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field are preferred
- Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
- Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
- Experience working with modern software development tools and version control tools
We provide these great perks and benefits:- Robust health, dental and vision insurance plans.
- Generous 401 (K) savings plan.
- Education assistance.
- On-site wellness, fitness center, food, and coffee service.
- And many more, check out our benefits site HERE.
